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The Ethereal
The Wasserstein transform
October 17, 2018 ยท Declared Dead ยท ๐ International Conference on Machine Learning
"No code URL or promise found in abstract"
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Authors
Facundo Mรฉmoli, Zane Smith, Zhengchao Wan
arXiv ID
1810.07793
Category
cs.LG: Machine Learning
Cross-listed
stat.ML
Citations
6
Venue
International Conference on Machine Learning
Last Checked
4 months ago
Abstract
We introduce the Wasserstein transform, a method for enhancing and denoising datasets defined on general metric spaces. The construction draws inspiration from Optimal Transportation ideas. We establish precise connections with the mean shift family of algorithms and establish the stability of both our method and mean shift under data perturbation.
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